{"record":{"id":"6f85aaea8275b87d","repo":"tensorflow/models","slug":"the-number-of-transfer-teacher-layers-s-does-no","errorCode":null,"errorMessage":"The number of `transfer_teacher_layers` %s does not match the number of student layers. %d","messagePattern":"The number of `transfer_teacher_layers` (.+?) does not match the number of student layers\\. (.+?)","errorType":"exception","errorClass":"ValueError","httpStatus":null,"severity":"error","filePath":"official/projects/mobilebert/distillation.py","lineNumber":153,"sourceCode":"\n    self._strategy = strategy\n    self._task_config = task_config\n    self._progressive_config = progressive\n    self._optimizer_config = optimizer_config\n    self._train_data_config = task_config.train_data\n    self._eval_data_config = task_config.validation_data\n    self._the_only_train_dataset = None\n    self._the_only_eval_dataset = None\n\n    layer_wise_config = self._progressive_config.layer_wise_distill_config\n    transfer_teacher_layers = layer_wise_config.transfer_teacher_layers\n    num_teacher_layers = (\n        self._task_config.teacher_model.encoder.mobilebert.num_blocks)\n    num_student_layers = (\n        self._task_config.student_model.encoder.mobilebert.num_blocks)\n    if transfer_teacher_layers and len(\n        transfer_teacher_layers) != num_student_layers:\n      raise ValueError('The number of `transfer_teacher_layers` %s does not '\n                       'match the number of student layers. %d' %\n                       (transfer_teacher_layers, num_student_layers))\n    if not transfer_teacher_layers and (num_teacher_layers !=\n                                        num_student_layers):\n      raise ValueError('`transfer_teacher_layers` is not specified, and the '\n                       'number of teacher layers does not match '\n                       'the number of student layers.')\n\n    ratio = progressive.pretrain_distill_config.distill_ground_truth_ratio\n    if ratio < 0 or ratio > 1:\n      raise ValueError('distill_ground_truth_ratio has to be within [0, 1].')\n\n    # A non-trainable layer for feature normalization for transfer loss\n    self._layer_norm = tf_keras.layers.LayerNormalization(\n        axis=-1,\n        beta_initializer='zeros',\n        gamma_initializer='ones',\n        trainable=False)","sourceCodeStart":135,"sourceCodeEnd":171,"githubUrl":"https://github.com/tensorflow/models/blob/e006f5f0d534913e49c1f1dae87364039fa607e2/official/projects/mobilebert/distillation.py#L135-L171","documentation":"Error \"The number of `transfer_teacher_layers` %s does not match the number of student layers. %d\" thrown in tensorflow/models.","triggerScenarios":"Thrown at official/projects/mobilebert/distillation.py:153 when the library encounters an invalid state.","commonSituations":"See trigger scenarios.","solutions":[],"exampleFix":null,"handlingStrategy":null,"validationCode":null,"typeGuard":null,"tryCatchPattern":null,"preventionTips":[],"tags":[],"backgroundTag":null,"analyzedSha":"e006f5f0d534913e49c1f1dae87364039fa607e2","analyzedAt":"2026-08-24T14:09:15.576Z","schemaVersion":2},"datasetVersion":"2026-08-24T17:17:21.512Z"}